Evidence map›Paper›PMID 37755132›Full record

ArticleCurrent protocols2023

Calling Cards: A Customizable Platform to Longitudinally Record Protein-DNA Interactions Over Time in Cells and Tissues.

Allen Yen, Chase Mateusiak, Simona Sarafinovska, Mariam A Gachechiladze, Juanru Guo, Xuhua Chen, Arnav Moudgil, Alexander J Cammack, Jessica Hoisington-Lopez, MariaLynn Crosby and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Current protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. bioRxiv : the preprint server for biology · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Allen YenDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Chase MateusiakDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Simona SarafinovskaDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Mariam A GachechiladzeDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Juanru GuoDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Xuhua ChenDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Arnav MoudgilDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Alexander J CammackDepartment of Neurology, Washington University School of Medicine, Saint Louis, Missouri.
Jessica Hoisington-LopezDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
MariaLynn CrosbyDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Michael R BrentDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Robi D MitraDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.
Joseph D DoughertyDepartment of Genetics, Washington University School of Medicine, Saint Louis, Missouri.

Funding

WUIDDRC Supplement-Supporting the health and well-being of children with intellectual and developmental disability during COVID-19 pandemicP50HD103525 · NICHD · WASHINGTON UNIVERSITY · PI JOSEPH D DOUGHERTY, Natasha Marrus · 2020 to 2026
$15.5M
INSTITUTIONAL TRAINING GRANT IN GENOMIC SCIENCET32HG000045 · NHGRI · WASHINGTON UNIVERSITY · PI MICHAEL R BRENT, Barak A Cohen · 1997 to 2026
$8.4M
Molecular recording to predict cell fate decisions and animal behaviorRF1MH126723 · NIMH · WASHINGTON UNIVERSITY · PI DOUGHERTY, JOSEPH D, MITRA, ROBI D · 2021 to 2021
$3.7M
PARALLEL ANALYSIS OF TRANSCRIPTION AND PROTEIN-DNAINTERACTIONS IN SINGLE CNS CELLSRF1MH117070 · NIMH · WASHINGTON UNIVERSITY · PI DOUGHERTY, JOSEPH D, MITRA, ROBI D · 2018 to 2020
$3.2M
Neuroscience Training Program at Washington UniversityT32NS121881 · NINDS · WASHINGTON UNIVERSITY · PI Martha W Bagnall, Daniel Kerschensteiner · 2021 to 2026
$3.1M
Mapping and modeling transcription factor networksR35GM141012 · NIGMS · WASHINGTON UNIVERSITY · PI BRENT, MICHAEL R · 2021 to 2025
$2.0M
NHGRI NIH HHS T32 HG000045NICHD NIH HHS P50 HD103525NIGMS NIH HHS R35 GM141012NIMH NIH HHS RF1 MH117070NIMH NIH HHS RF1 MH126723NINDS NIH HHS T32 NS121881
6 · The paper itself

Abstract

Calling Cards is a platform technology to record a cumulative history of transient protein-DNA interactions in the genome of genetically targeted cell types. The record of these interactions is recovered by next-generation sequencing. Compared with other genomic assays, readouts of which provide a snapshot at the time of harvest, Calling Cards enables correlation of historical molecular states to eventual outcomes or phenotypes. To achieve this, Calling Cards uses the piggyBac transposase to insert self-reporting transposon "Calling Cards" into the genome, leaving permanent marks at interaction sites. Calling Cards can be deployed in a variety of in vitro and in vivo biological systems to study gene regulatory networks involved in development, aging, and disease. Out of the box, it assesses enhancer usage but can be adapted to profile-specific transcription factor (TF) binding with custom TF-piggyBac fusion proteins. The Calling Cards workflow has five main stages: delivery of Calling Cards reagents, sample preparation, library preparation, sequencing, and data analysis. Here, we first present a comprehensive guide for experimental design, reagent selection, and optional customization of the platform to study additional TFs. Then, we provide an updated protocol for the five steps, using reagents that improve throughput and decrease costs, including an overview of a newly deployed computational pipeline. This protocol is designed for users with basic molecular biology experience to process samples into sequencing libraries in 2 days. Familiarity with bioinformatic analysis and command line tools is required to set up the pipeline in a high-performance computing environment and to conduct downstream analyses. © 2023 Wiley Periodicals LLC. Basic Protocol 1: Preparation and delivery of Calling Cards reagents Support Protocol 1: Next-generation sequencing quantification of barcode distribution within self-reporting transposon plasmid pool and adeno-associated virus genome Basic Protocol 2: Sample collection and RNA purification Support Protocol 2: Library density quantitative PCR Basic Protocol 3: Sequencing library preparation Basic Protocol 4: Library pooling and sequencing Basic Protocol 5: Data analysis.

Indexed as

DNADNA-Binding ProteinsGenomeGenomicsPlasmidsDNADNA-Binding Proteinscalling cardsenhancer usageepigeneticsgene regulationtranscription factor binding

Identifiers

PMID37755132
PMCPMC10627244

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.